Cluster-Based Sleep Analysis
    2.
    发明申请

    公开(公告)号:US20230111286A1

    公开(公告)日:2023-04-13

    申请号:US17967387

    申请日:2022-10-17

    申请人: Fitbit, Inc.

    IPC分类号: A61B5/00 G06F18/23

    摘要: Various types of data can be collected regarding the physical or mental health of a user, as may relate to sleep of the user over a period of time. Health metrics can be determined from this data that can enable the user to be associated with a particular health type or category. For sleep, this can include associating the user with a sleep animal that has specific characteristics. This can help a user to better understand that user's sleep, and how that sleep compares to sleep of others. In addition to being able to provide health information in a way that is easy to understand, such an approach can also help to make more accurate recommendations or take specific actions to help improve the health of a user, such as to improve sleep. This can include making recommendations to a user or automatically adjusting operation of at least one device.

    CLUSTER-BASED SLEEP ANALYSIS
    3.
    发明申请

    公开(公告)号:US20220240843A1

    公开(公告)日:2022-08-04

    申请号:US17162286

    申请日:2021-01-29

    申请人: Fitbit, Inc.

    IPC分类号: A61B5/00 G06K9/62

    摘要: Various types of data can be collected regarding the physical or mental health of a user, as may relate to sleep of the user over a period of time. Health metrics can be determined from this data that can enable the user to be associated with a particular health type or category. For sleep, this can include associating the user with a sleep animal that has specific characteristics. This can help a user to better understand that user's sleep, and how that sleep compares to sleep of others. In addition to being able to provide health information in a way that is easy to understand, such an approach can also help to make more accurate recommendations or take specific actions to help improve the health of a user, such as to improve sleep. This can include making recommendations to a user or automatically adjusting operation of at least one device.

    Sleep scoring based on physiological information

    公开(公告)号:US10980471B2

    公开(公告)日:2021-04-20

    申请号:US16781969

    申请日:2020-02-04

    申请人: Fitbit, Inc.

    摘要: Assessing the sleep quality of a user in association with an electronic device with one or more physiological sensors includes detecting an attempt by the user to fall asleep, and collecting physiological information associated with the user. The disclosed method of assessing sleep quality may include determining respective values for one or more sleep quality metrics, including a first set of sleep quality metrics associated with sleep quality of a plurality of users, and a second set of sleep quality metrics associated with historical sleep quality of the user, based at least in part on the collected physiological information and at least one wakeful resting heart rate of the user, and determining a unified score for sleep quality of the user, based at least in part on the respective values of the one or more sleep quality metrics.

    SLEEP SCORING BASED ON PHYSIOLOGICAL INFORMATION

    公开(公告)号:US20220225929A1

    公开(公告)日:2022-07-21

    申请号:US17219242

    申请日:2021-03-31

    申请人: Fitbit, Inc.

    IPC分类号: A61B5/00 A61B5/02

    摘要: Assessing the sleep quality of a user in association with an electronic device with one or more physiological sensors includes detecting an attempt by the user to fall asleep, and collecting physiological information associated with the user. The disclosed method of assessing sleep quality may include determining respective values for one or more sleep quality metrics, including a first set of sleep quality metrics associated with sleep quality of a plurality of users, and a second set of sleep quality metrics associated with historical sleep quality of the user, based at least in part on the collected physiological information and at least one wakeful resting heart rate of the user, and determining a unified score for sleep quality of the user, based at least in part on the respective values of the one or more sleep quality metrics.

    SLEEP SCORING BASED ON PHYSIOLOGICAL INFORMATION

    公开(公告)号:US20200170567A1

    公开(公告)日:2020-06-04

    申请号:US16781969

    申请日:2020-02-04

    申请人: Fitbit, Inc.

    IPC分类号: A61B5/00 A61B5/02

    摘要: Assessing the sleep quality of a user in association with an electronic device with one or more physiological sensors includes detecting an attempt by the user to fall asleep, and collecting physiological information associated with the user. The disclosed method of assessing sleep quality may include determining respective values for one or more sleep quality metrics, including a first set of sleep quality metrics associated with sleep quality of a plurality of users, and a second set of sleep quality metrics associated with historical sleep quality of the user, based at least in part on the collected physiological information and at least one wakeful resting heart rate of the user, and determining a unified score for sleep quality of the user, based at least in part on the respective values of the one or more sleep quality metrics.

    Sleep scoring based on physiological information

    公开(公告)号:US10111615B2

    公开(公告)日:2018-10-30

    申请号:US15456494

    申请日:2017-03-11

    申请人: Fitbit, Inc.

    摘要: Assessing the sleep quality of a user in association with an electronic device with one or more physiological sensors includes detecting an attempt by the user to fall asleep, and collecting physiological information associated with the user. The disclosed method of assessing sleep quality may include determining respective values for one or more sleep quality metrics, including a first set of sleep quality metrics associated with sleep quality of a plurality of users, and a second set of sleep quality metrics associated with historical sleep quality of the user, based at least in part on the collected physiological information and at least one wakeful resting heart rate of the user, and determining a unified score for sleep quality of the user, based at least in part on the respective values of the one or more sleep quality metrics.

    Cluster-based sleep analysis
    9.
    发明授权

    公开(公告)号:US11478186B2

    公开(公告)日:2022-10-25

    申请号:US17162286

    申请日:2021-01-29

    申请人: Fitbit, Inc.

    IPC分类号: A61B5/00 G06K9/62

    摘要: Various types of data can be collected regarding the physical or mental health of a user, as may relate to sleep of the user over a period of time. Health metrics can be determined from this data that can enable the user to be associated with a particular health type or category. For sleep, this can include associating the user with a sleep animal that has specific characteristics. This can help a user to better understand that user's sleep, and how that sleep compares to sleep of others. In addition to being able to provide health information in a way that is easy to understand, such an approach can also help to make more accurate recommendations or take specific actions to help improve the health of a user, such as to improve sleep. This can include making recommendations to a user or automatically adjusting operation of at least one device.